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Every day, millions of people use AI chatbots to research and choose new products. Many companies are already seeing this shift in their analytics: website traffic is declining, while more customers say they discovered them through ChatGPT or similar tools.
It’s a new marketing channel with millions of users.
Advertising is still in its early stages, and optimizing for LLMs is relatively easy. Many competitors are not working on it yet, which creates a strong first-mover advantage.
Optimization for LLMs is different from traditional SEO.
No one except OpenAI, Google, or Perplexity knows exactly how people phrase their prompts. But the system can still be reverse-engineered. Daily tracking averages out hallucinations. Large-scale prompt analysis reveals the semantic space around a brand, showing which topics LLMs associate with it and how that perception changes over time.
It's one of the cheapest marketing channels.
The main investment is simply the team working on your AI visibility.

Most AI visibility tools simply track whether your brand is mentioned in responses for a set of prompts. Agencies then build recommendations based on that tracking, their previous SEO experience, and early experiments in generative engine optimization. So every service gives different advice, and AI search feels unpredictable.
But why treat it as guesswork if it’s actually math?
LLMs operate on mathematical representations of language. If you apply the same logic, you can analyze how they evaluate content. For example, before publishing a new article you can run it through embeddings and measure how strongly the model considers it an answer to a specific prompt — in numbers. You can also extract semantic entities from texts that already appear in AI responses and use them to engineer new content aligned with how the model understands the topic.
That’s exactly what we do.
That’s why Turbine is an AI visibility lab.

A digital wallet app struggled to appear in AI recommendations despite strong SEO performance.
Using Turbine’s semantic analysis, we identified the clusters dominating the category and engineered content around the missing associations.
The result: Within 15 weeks the company became one of the most frequently recommended wallets in AI-generated answers.

One of the cheapest AI visibility platforms on the market.
We've built it for ourselves to deliver the best results.
Explore features and run a free test.
Track your Visibility Share and average rank across ChatGPT, Gemini, and Perplexity daily. Identify exactly which sources (domains) the LLMs are citing to construct answers about your brand.

Identify exactly which domains are feeding data to the algorithms. Pinpoint high-authority sources citing your competitors and build a Digital PR strategy based on mathematical influence, not just search volume.

Identifying the right prompts is a challenge, so we suggest the most relevant ones for you. Test variations and simulate AI responses in real-time. See how changes in phrasing impact brand mentions and extract semantic keywords before you commit resources to tracking.

See your competitors plotted on a semantic scatter plot. Understand their mention frequency, position dynamics, and the specific terms they own that you don't.

We analyze vector embeddings to calculate the "mathematical distance" between your brand and the entities LLMs associate with your category. We pinpoint the exact semantic concepts you are missing.

Generate content briefs and drafts that are mathematically aligned with the entities and tones LLMs prefer to cite. Move from "guessing" to "engineering" your content.

Companies that understand how AI models structure knowledge will shape the answers users see. Turbine helps data-driven brands analyze and engineer AI visibility.
Hire AI search teamAnalyze your brand's AI perception. See your strengths, weaknesses, and competitors as LLMs see them. Start building for AI search visibility.

Measure the Semantic Gap between your drafts and AI prompts. Use our Validator improve your chances of being cited by chatbots.

Understand how ChatGPT reads your text. Extract keywords that actually matter. Ranked by semantic meaning, not word count. Free tool.
